clear all
drop _all
set mem 6500m
set more off
macro drop _all

cap cd "C:\Users\alson\Dropbox\BID_Quisqueya_conAlba\SUBMISSIONS\EHBsubmission\1ST ROUND REVISION\Replication package"

global table  Tables\
global data Data\

use "C:\Users\alson\Dropbox\BID_Quisqueya_conAlba\SUBMISSIONS\EHBsubmission\1ST ROUND REVISION\Replication package\Data\Uruguay.dta", clear


** Average prevalences

global rif_reg_measures resol_prob_delay comunicacion_delay motor_delay socio_individual_delay

foreach var of global rif_reg_measures {

su `var'

}


foreach var of global rif_reg_measures {

    local lab: variable label `var'  // Save variable label in local `lab'
   
    eststo `var'_reg: reg `var' female, robust
}


** Create the global

foreach var of global rif_reg_measures {

global results_means $results_means `var'_reg

}


	esttab $results_means using "$table\tableUruguay.tex", replace ///
    b(%8.3f) se(%8.3f) label ///
    title("Female-male. Uruguay") star(* 0.10 ** 0.05 *** 0.01) ///
    nocons noobs nonotes postfoot("\hline\hline")



** CONTROLS FOR EQ. 3 AND EQ. 4

global controls region2 region3 region4 region5 region6 region7 region8 region9 region10 region11 region12 region13 region14 region15 region16 region17 region18 region19 year1 year2 year3 year4 year5 year6



** DISTRIBUTIONAL

global inputs srevhometot

foreach var of global inputs {

    local lab: variable label `var'  // Save variable label in local `lab'
   
    eststo `var'_reg: reg `var' female ${controls}, robust



eststo `var'_rifreg: bootstrap, seed(1234) reps(1000):rifsureg `var' female ${controls}, qs(10 25 50 75 90)

foreach k of numlist 10 25 50 75 90 {
scalar A`k' = [q`k'][female]
scalar B10 = sqrt(e(V)[1,1])
scalar B25 = sqrt(e(V)[3,3])
scalar B50 = sqrt(e(V)[5,5])
scalar B75 = sqrt(e(V)[7,7])
scalar B90 = sqrt(e(V)[9,9])
scalar I`k' = `k'
}

di "Pairwise test P10 vs P90"
test [q90]female=[q10]female
sca `var'_10_90 = r(p)

di "Pairwise test P10 vs P50"
test [q50]female=[q10]female
sca `var'_10_50 = r(p)

di "Pairwise test P50 vs P90"
test [q90]female=[q50]female
sca `var'_50_90 = r(p)


putdocx begin

putdocx paragraph

local footnotes: di "Uruguay. For `lab': 10th = 90th (p-value = " string(scalar(`var'_10_90), "%9.3f") "), 10th = 50th (p-value = " string(scalar(`var'_10_50), "%9.3f") "), 50th = 90th (p-value = " string(scalar(`var'_50_90), "%9.3f") ")"

putdocx text ("`footnotes'")

putdocx save home_pvalues.docx, append

}

	
	
	esttab srevhometot_reg using "$table\tableUruguay_inputs.tex", replace ///
    b(%8.3f) se(%8.3f) label ///
    title("Female-male. Uruguay") star(* 0.10 ** 0.05 *** 0.01) ///
    noobs drop(_cons ${controls}) nonotes postfoot("") 

	
	esttab srevhometot_rifreg using "$table\tableUruguay_inputs.tex", append fragment ///
    b(%8.3f) se(%8.3f) label ///
    star(* 0.10 ** 0.05 *** 0.01) ///
    nonotes nonumbers drop(_cons ${controls}) nomtitles postfoot("\hline\hline")
	

** EQUATION 4: outcomes on female, SES, HOME and their interactions

foreach var of global rif_reg_measures {

reg `var' female wi2_stand female_wi2_stand srevhometot female_home ${controls}, rob

outreg2 using $table\reg_output_interactions_uru, bdec(3) br excel append label drop(${controls}) nor2 nocons noomitted

}


	** Prepare the data for the pooled regression: one indicator per country

gen country = "ECD index"

rename fatherinhh finhh

rename srevhometot home

keep if home != . & comunicacion != . & motor_grueso != . & motor_fino != . & resol_prob != . & socio_individual != .

keep country female finhh wi2_stand home mothers_age_birth primary secondary tertiary

append using $data\pool.dta

save $data\pool.dta, replace
